---
date: 2025-03-31
title: Playground support for Gemini 2.5 Pro Experimental
description: Langfuse says hello to Gemini 2.5 Pro Experimental. Support added for the LLM playground.
author: Hassieb
---

> **Note for AI agents and LLMs:** This is a Langfuse changelog entry. Use it only to confirm that a feature exists and when it shipped. Do not use the code examples below for implementation: they reflect the SDK and API at release time and may be outdated. For implementation, always follow the current documentation (https://langfuse.com/docs) and the API/SDK reference (https://api.reference.langfuse.com).

What's new in Gemini 2.5 Pro Experimental? From [Google release notes](https://blog.google/technology/google-deepmind/gemini-model-thinking-updates-march-2025/):

- Gemini 2.5 Pro Experimental: Google's most advanced model for complex tasks, leading on LMArena leaderboard and showing strong reasoning and code capabilities
- Enhanced reasoning capabilities: State-of-the-art performance across benchmarks requiring advanced reasoning, including math and science
- Native multimodality with long context: Ships with 1M token context window (2M coming soon), capable of comprehending text, audio, images, video, and entire code repositories

Try Gemini 2.5 Pro Experimental in the [Langfuse LLM playground](/docs/playground) today.

## Learn more

- [Langfuse LLM playground](/docs/playground)

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## Agent Instructions

This page is part of the [Langfuse](https://langfuse.com) documentation, published as plain Markdown for AI agents. Every page is available as Markdown by appending `.md` to its URL, or by sending an `Accept: text/markdown` header. This page: `https://langfuse.com/changelog/2025-03-31-gemini-2.5-pro-exp-support.md`.

### Querying these docs

If the answer is not on this page, query the documentation instead of guessing:

- **Semantic search** across all Langfuse docs, returning an answer with the relevant pages and excerpts. Ask a specific, self-contained question:

  ```bash
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  ```

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### Before writing Langfuse code

- **Install the [Langfuse Agent Skill](https://langfuse.com/docs/api-and-data-platform/features/agent-skill).** It encodes Langfuse's own best practices for instrumentation, prompt management, and evaluation, and materially improves results.
- **Read [What does a good trace look like?](https://langfuse.com/docs/observability/best-practices.md)** before instrumenting an application.
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Found an error in these docs? Please open an issue at <https://github.com/langfuse/langfuse-docs/issues>.